惯性聚合 高效追踪和阅读你感兴趣的博客、新闻、科技资讯
阅读原文 在惯性聚合中打开

推荐订阅源

aimingoo的专栏
aimingoo的专栏
V
V2EX
G
Google Developers Blog
F
Full Disclosure
Martin Fowler
Martin Fowler
宝玉的分享
宝玉的分享
H
Hacker News: Front Page
Exploit-DB.com RSS Feed
Exploit-DB.com RSS Feed
NISL@THU
NISL@THU
G
GRAHAM CLULEY
V
Vulnerabilities – Threatpost
Hacker News - Newest:
Hacker News - Newest: "LLM"
A
About on SuperTechFans
The Cloudflare Blog
C
Cisco Blogs
D
DataBreaches.Net
Threat Intelligence Blog | Flashpoint
Threat Intelligence Blog | Flashpoint
Vercel News
Vercel News
P
Privacy International News Feed
Microsoft Security Blog
Microsoft Security Blog
Help Net Security
Help Net Security
Recorded Future
Recorded Future
PCI Perspectives
PCI Perspectives
S
Schneier on Security
AI
AI
N
News | PayPal Newsroom
雷峰网
雷峰网
C
Cyber Attacks, Cyber Crime and Cyber Security
P
Proofpoint News Feed
The Last Watchdog
The Last Watchdog
L
LINUX DO - 最新话题
Hugging Face - Blog
Hugging Face - Blog
Apple Machine Learning Research
Apple Machine Learning Research
Schneier on Security
Schneier on Security
S
Securelist
云风的 BLOG
云风的 BLOG
Stack Overflow Blog
Stack Overflow Blog
博客园_首页
AWS News Blog
AWS News Blog
TaoSecurity Blog
TaoSecurity Blog
OSCHINA 社区最新新闻
OSCHINA 社区最新新闻
Recent Commits to openclaw:main
Recent Commits to openclaw:main
博客园 - 三生石上(FineUI控件)
C
CXSECURITY Database RSS Feed - CXSecurity.com
K
KPMG report finds enterprise disconnect between AI and its ROI | CIO
Cloudbric
Cloudbric
C
Cybersecurity and Infrastructure Security Agency CISA
Project Zero
Project Zero
C
Check Point Blog
S
Security Affairs

Towards AI

Building AI Agents in Rust — part 4 | Towards AI Building AI Agents in Rust — part 5 | Towards AI The Verified Identity Agent Bridge | Towards AI You Can’t Prompt Your Away Your LLM Problems | Towards AI The Free Agent Trap | Towards AI Your Agentic Loop Will Drift. Here Is the KL Divergence Equation That Measures How Far It Has Wandered From Its Original Instruction. | Towards AI Beyond Chat: Processing Images, PDFs, and Documents with the OpenAI Adapter in Oracle Integration Cloud | Towards AI Building AI Agents in Rust — part 3 | Towards AI Self-Hosting Airflow at Home: Automating Stock Price Data Collection | Towards AI The 76-Hour Frontier: How the Takedown of Claude Fable 5 Birthed the Military-Industrial-AI Complex | Towards AI I Trained a Markdown File to Boost GPT-5.5 by 23 Points — It Shouldn't Work | Towards AI We Replaced ChatGPT With a Local AI Server. Six Months of Honest Data. | Towards AI What Really Makes Cars Pollute? A Data Science Deep Dive into CO₂ Emissions | Towards AI Training GPT-2 From Scratch on a GTX1050 | Towards AI Principal Component Analysis (PCA): Theory, Mathematics, and Applications Build a Zero-Cost Web Automation Pipeline With OpenRouter, OpenClaw, and MediaUse I Gave Qwen3.7-Plus a Screenshot and It Found the Exact Pixel to Click for $0.40 Beyond the Prompt: Why Autonomous AI Agents Are Replacing the Chatbot Moonshot Cracked Claude Code’s Playbook with an MIT Terminal Agent and a $0.60 Model Connections, Roles, and Warehouses: Getting CoCo Desktop Production-Ready from Day One My First $5,000 Month Writing About AI Engineering on Medium Google Shrank Gemma 4 by 72% and Unsloth Fixed the 4-Bit Bug Nobody Else Caught on One 4090, and 4-Bit Shouldn’t Be This Good LangChain Explained: Understanding Models, Prompts, Chains, Memory, Indexes, and Agents TOON: Beyond JSON for LLMs Claude Code Casual, Pro, Elite: The Three Working Personas of Claude Code Mastery MiniMax M3 Decodes 1M Tokens 15x Faster — and It Shouldn’t Be This Cheap Using Amazon SQS for AI Agent Orchestration I Ran a 1.5B-Active Model on My Laptop That Embarrassed a 26B by 46 Points How to Build a Self-Improving Company with AI Part 3 — Implementation/Engine-Level: Choosing the Runtime That Gives You These for Free Part 2 — Serve-Level Speed: System Design That Stabilizes P95/P99 3-Part Series: LLM Latency in Production (Part 1) Claude Code: The AI Coding Partner Changing How Developers Build Software Claude Code Pitfalls: Claude Code Won’t Do What You Told It: A Troubleshooting Catalog Full-Stack Data Scientists for the Agentic Coding World Building Production-Grade AI Skills with Snowflake Cortex AI Function Studio I Tried 10 AI Agent Frameworks in 2026 — Here’s the Honest Guide I Wish I Had Earlier How One Spring Boot Optimization Saved Our Startup $30,000 a Year Inside Palantir AIP: How the World’s Most Controversial AI Platform Actually Works What Is a Reverse Proxy? (And Why Every Backend Developer Should Care) What Claude Opus 4.8 Actually Changes If You’re Building Agents QWEN 3.7 Max Worked For 35 Hrs Straight And The Results Were Mind-blowing When LLMs Meet Knowledge Graphs on the Battlefield Fine-Tuning is Dead: Why Context Orchestration Won in 2026 5 Things Broke When I Shipped a RAG + MCP Agent to Production. Google Co-Scientist: Hyper Scaling Research and Discovery Microsoft Just Embarrassed Browser Web Agents — 1,000 Lines Made GPT-5.4 Beat Opus 4.6 on 200 Web Tasks The Modern Data Stack Is Broken — Here’s How to Fix It With AI, Governance, and Real Architecture Building Production MCP Servers: What the Spec Won’t Tell You When Should an Agent Stop? The Anatomy of Termination Harness Engineering: The Layer That Matters More Than the Model AI Engineers Who Can’t Debug Are Getting Fired (Here’s How I Debug with Claude Code) Claude Code Memory: Why You Keep Explaining the Same Thing to Claude (and the Five Layers That Fix It) Claude Code Subagents: The Claude Code Feature You Skip Every Day (And Why It Quietly Wrecks Your Sessions) Agentic AI and the SMB Banking Advantage Claude Code: Spec-Driven Development — Why Your AI Coding Sessions Fall Apart at Hour Three The Real Cost of Agentic AI Nobody Budgets For SVM : 40 must visit Interview Questions (Part 2) Your AI Agent Works Perfectly in the Demo. Here Are the 6 Ways It Dies in Production. Unleashing the Power of ONNX for Speedier SBERT Inference Terraform vs CI/CD for Serverless Deployments Merve Noyan Stopped Writing Training Scripts — Her Agent Just Fine-Tuned 18 Models Solo for $11.40 Why Your Sales Forecast Is Always 20% Wrong (And How To Make It 12% Wrong) Genetic Cubic n{C/A} Ratios For Elementary Robotics Design Top 20 AdaBoost Interview Questions & Answers (Part 2 of 2) Agentic AI Vs AI Agents — What Are the Key Differences? LAI #127: The Infrastructure Layer of AI Is Becoming the Product Anthropic Caught Its Own AI Planning to Blackmail Engineers RNNs Cannot Think What Transformers Think Cheaply. ICLR 2026 Proved the Gap Is Exponential. Time Series Made So Easy My Aunt Got It on the Second Read Is 3-Bit KV Cache the Holy Grail? A Reality Check on Google’s TurboQuant LangGraph Multi-Agent Architecture: Building a Self-Critiquing AI Debate System AutoML on Autopilot | Towards AI I Ran This Open-Source AI Tool on a Messy Codebase and Got 71x Fewer Tokens — Here Is Exactly What Happened Month in 4 Papers (April 2026) AI Kept Forgetting My Notes. Fixing That Taught Me How It Actually Works. How ChatGPT Makes You Addicted Crack ML Interviews with Confidence: K-Nearest Neighbors (KNN 20 Q&A) The Event-Driven Blueprint: How I Scaled a Spring Boot System to 10 Million Kafka Messages/Day Building Vector Search? Why FAISS Alone Isn’t Enough TAI #202: GPT-5.5 Moves Codex Into Real Work Machine Learning System Design -The Model Serving Triangle, With One Forward Pass Flowing Through Every Trade-off (Part3) AI Orchestration in Action: How MuleSoft and LLMs Fuel the Future of Enterprise AI GPT-4 Has 1.8 Trillion Parameters. It Uses 2% of Them Per Token. Part 20: Data Manipulation in Multi-Dimensional Aggregation A Fundamental Introduction to Genetic Algorithm -Part Two TAI #200: Anthropic’s Mythos Capability Step Change and Gated Release From Notebook to Production: Running ML in the Real World (Part 4) Sqribble’s Template‑Driven Document Automation Anthropic Just Shipped the Layer That’s Already Going to Zero Long-Term vs Short-Term Memory for AI Agents: A Practical Guide Without the Hype The L1 Loss Gradient, Explained From Scratch Your Postcode Is Deciding Your Care. I Built a Pipeline to Prove It. I Directed AI Agents to Build a Tool That Stress-Tests Incentive Designs. Here’s What It Found. Your System Prompt Is the Product — Not the Feature The LLM Wiki Trend Has a Retention Problem Nobody Mentions Top 20 Data Preparation Interview Questions and Answers (Part 2 of 2) LAI #122: Word Embeddings Started in 1948, Not With Word2Vec Top 15 Computer Vision Datasets [2026] 40 Generative AI Interview Questions That Actually Get Asked in 2026 (With Answers)
Claude Cowork 101 | Towards AI
Kushal Banda · 2026-05-11 · via Towards AI

Name: Towards AI Legal Name: Towards AI, Inc. Description: Towards AI is the world's leading artificial intelligence (AI) and technology publication. Read by thought-leaders and decision-makers around the world. Phone Number: +1-650-246-9381 Email: pub@towardsai.net

228 Park Avenue South New York, NY 10003 United States

Website: Publisher: https://towardsai.net/#publisher Diversity Policy: https://towardsai.net/about Ethics Policy: https://towardsai.net/about Masthead: https://towardsai.net/about

Name: Towards AI Legal Name: Towards AI, Inc. Description: Towards AI is the world's leading artificial intelligence (AI) and technology publication.

Founders: Roberto Iriondo, , Job Title: Co-founder and Advisor Works for: Towards AI, Inc. Follow Roberto: X, LinkedIn, GitHub, Google Scholar, Towards AI Profile, Medium, ML@CMU, FreeCodeCamp, Crunchbase, Bloomberg, Roberto Iriondo, Generative AI Lab, Generative AI Lab VeloxTrend Ultrarix Capital Partners Denis Piffaretti, Job Title: Co-founder Works for: Towards AI, Inc. Louie Peters, Job Title: Co-founder Works for: Towards AI, Inc. Louis-François Bouchard, Job Title: Co-founder Works for: Towards AI, Inc.

Cover:

Towards AI Cover

Logo:

Towards AI Logo

Areas Served: Worldwide Alternate Name: Towards AI, Inc. Alternate Name: Towards AI Co. Alternate Name: towards ai Alternate Name: towardsai Alternate Name: towards.ai Alternate Name: tai Alternate Name: toward ai Alternate Name: toward.ai Alternate Name: Towards AI, Inc. Alternate Name: towardsai.net Alternate Name: pub.towardsai.net

5 stars – based on 497 reviews

Frequently Used, Contextual References

TODO: Remember to copy unique IDs whenever it needs used. i.e., URL: 304b2e42315e

Resources

Free: 6-day Agentic AI Engineering Email Guide.
Learnings from Towards AI's hands-on work with real clients.

Claude Cowork 101

Author(s): Kushal Banda

Originally published on Towards AI.

Claude Chat is reactive you prompt, Claude answers. Claude Code is terminal-first, demands CLI comfort.

Cowork splits the difference: agentic architecture (same as Code) in a GUI anyone can operate. Multi-step planning. File system access. Connectors to Gmail/Slack/Salesforce. Parallel execution. And crucially: the ability to complete work automatically through scheduled tasks, which isn’t possible in regular chats outside of Cowork.

Claude Cowork 101
Claude Cowork

The mental model: stop thinking “assistant that writes.” Start thinking “assistant that does.”

Claude Cowork is Anthropic’s interpretation for OpenClaw, more secure and built exclusively for Claude ecosystem.

The Architecture Layer

Projects: Task isolation. Every major workflow lives in its own project with dedicated folder access. This prevents context bleed when running 5 different projects simultaneously.

Customize Claude for your team with plugins

Create a dedicated folder for each project, grant Claude access only to that folder. That’s your security boundary.

Plugins: Role-specific skill bundles. Finance, legal, marketing, data analysis, operations each plugin pre-packs connectors (Gmail, Slack, etc.), skills (reusable prompts), and sub-agents. Plugins come pre-configured with the skills and connectors relevant to that function, and you can tailor them to your workflow.

Plugins

Example workflow (sales): “New prospect Johnson” → Plugin scans LinkedIn + Gmail + Slack → generates dossier + templates → ready to send.

Skills: Slash-command reusable prompts. /summarize, /format, /analyze are built-in. Custom skills are copy-paste-ready instructions that trigger specific actions. Type "/" to see available skills; plugins add more.

Dispatch: Remote task assignment from phone. From your phone, hand Claude tasks that use everything on your desktop, including things you can’t open on your phone pull data from local spreadsheets, search Slack/email, generate reports. Syncs continuously. You get push notifications when done or approval needed.

Scheduled Tasks: Cron without cron. Define recurring workflows (daily briefing, weekly report, monthly cleanup). Runs on wake; sleeping machine skips and re-runs on next boot. No continuous execution unless your desktop stays on.

Scheduled Tasks

What Actually Works vs. What Breaks

Real-world patterns that ship:

  1. Weekly reports: Analyze folder of CSVs → synthesize findings → output PowerPoint + email to stakeholders. Runs Sundays 6am.
  2. Email-triggered workflows: New email in label → Cowork extracts data → creates Notion entry + Slack summary. (Requires email connector setup.)
  3. File organization: 500 PDFs in Downloads → parse filenames → sort into folders by type → archive old. Runs on demand or scheduled.
  4. Contract review triage: Upload contracts → extract key terms → flag risks → bucket into categories (approve/needs-review/reject). Legal teams actually use this.
  5. Competitor research: Task → Claude searches web + downloads pricing pages + compiles comparison table → exports to Sheets. Takes 15–20 min per batch of 10 competitors.

What breaks:

  • CAPTCHA workflows (can’t solve them). Skip these entirely.
  • High-precision image editing (Photoshop-grade retouching). Use Claude for planning, human for execution.
  • Tasks requiring real-time responsiveness. 10–15 second latency per step adds up.
  • Finance trades or irreversible deletions. Cowork has no rollback. Don’t hand it keys to live systems without approval gates.
  • Desktop apps with no API/MCP bridge (some legacy enterprise software). If it’s not web-accessible or MCP-connected, Cowork struggles.

Get started with Claude Cowork

  1. Create project folder: /Users/you/Cowork-ProjectName/ (not Documents, not Desktop).
  2. Grant access: Cowork settings → pick this folder only. Deny everything else.
  3. Set global instructions: Settings → Cowork → Edit. Add tone, output preferences, constraints.
  4. Install plugins: Customize menu → browse marketplace → install 2–3 role-specific ones (start lightweight).
  5. Test one workflow: Small task, 5 files, one output. Debug before scaling.
  6. Enable Dispatch: Phone app → authenticate → sync desktop Cowork.
  7. Schedule one recurring task: Daily/weekly/monthly. Observe for 2 weeks before adding more.

Don’t over-engineer. Start with one plugin, one project, one recurring task. Add complexity after you see it working.

Further Reading

Thanks for reading! If you have any questions or feedback, please let me know on Medium or LinkedIn

Published via Towards AI


Towards AI Academy

We Build Enterprise-Grade AI. We'll Teach You to Master It Too.

15 engineers. 100,000+ students. Towards AI Academy teaches what actually survives production.

Start free — no commitment:

6-Day Agentic AI Engineering Email Guide — one practical lesson per day

Agents Architecture Cheatsheet — 3 years of architecture decisions in 6 pages

Our courses:

AI Engineering Certification — 90+ lessons from project selection to deployed product. The most comprehensive practical LLM course out there.

Agent Engineering Course — Hands on with production agent architectures, memory, routing, and eval frameworks — built from real enterprise engagements.

AI for Work — Understand, evaluate, and apply AI for complex work tasks.

Note: Article content contains the views of the contributing authors and not Towards AI.